Data Analyst

Job Title: Data Analyst

Location : Hyderabad

Work Mode : Semi Hybrid Mode (4days work from office) and (1 day work from home(either Monday or Wednesday or Friday)) in a week

About the Company & the team:

vidaXL is a leading company in the retail/e-commerce industry, committed to transforming the shopping experience for our customers through innovative technology solutions. Our Data & Analytics team plays a critical role in enabling & empowering all the business domains across the omni-retail value chain for delivering their strategic priorities and business leveraging our Data & Analytics Products & Services.

We are seeking a Data Analyst to join our dynamic team of Data & Analytics function. The ideal candidate will have a strong background & experience in transforming raw data into actionable insights and supporting decisions across Omni-retail value chain (Sales, Marketing, Logistics, Product, Pricing etc.)

You will:

• Data Collection & Preparation:

  Extract, clean, and validate large datasets from e-commerce & Sales platforms, loyalty programs, marketing channels etc.

• Data & Analytics Product Delivery Support:

• Analyze the business case request for D&A Product development (Data marts, Data feeds, Data Science, AI / ML solutions) and share the expected business impact
• Perform Data Analysis activities like Data availability & Data mapping assessments from the data sources for successfully delivering D&A Products and
• Validate the quality of the deliverables and evaluate whether it is meeting the business expectations

• Analysis & Insights:

  Identify sales trends, customer behavior patterns, inventory performance, and campaign effectiveness.

• Reporting & Visualization:

  Develop interactive dashboards (using tools like Looker, Powerbi, Tableau etc.) and reports for KPIs like conversion rates, AOV, customer lifetime value.

• Stakeholder Collaboration:

  Partner with analysts, leads and managers to define needs, present findings, and translate business questions into analytical projects.

• Business Recommendations:

  Provide data-driven suggestions for promotions, pricing, Marketing, Merchandising, customer segmentation etc.

• Data Quality:

  Support data governance, troubleshoot data issues, and ensure accuracy for reliable reporting. .

We ask:

• Bachelor's degree (or preferably) in Computer Science, Statistics, or a related field and high level of English proficiency.
• The ideal candidate has 3+ years of strong experience in Data, BI, Analytics, Data Science or AI domains, preferably within Ecommerce, Retail, Consumer goods, or a related data-intensive industry.
• Strong statistical knowledge, ability to interpret complex data, understand correlation vs. causation.
• SQL (advanced), Excel (advanced), Tableau/Power BI/Looker. Python/R a plus.
• Experience working with GBQ/GCP is highly desirable but not mandatory
• Experience with frameworks like Scrum, Kanban, or SAFe, and a track record of working in an iterative environment